Genetic Algorithm Based Robust and Optimal Path Planning for Sample-Return Mission from an Asteroid on an Earth Fly-By Trajectory

Status Report From: e-Print archive
Posted: Tuesday, January 5, 2016

Sean Fritz, Kamran Turkoglu
(Submitted on 19 Aug 2015)

In this study, an interplanetary space flight mission design is established to obtain the minimum \(\Delta V\) required for a rendezvous and sample return mission from an asteroid. Given the initial (observed) conditions of an asteroid, a (robust) genetic algorithm is implemented to determine the optimal choice of \(\Delta V\) required for the rendezvous. Robustness of the optimum solution is demonstrated through incorporated bounded-uncertainties in the outbound \(\Delta V\) maneuver via genetic fitness function. The improved algorithm results in a solution with improved robustness and reduced sensitivity to propulsive errors in the outbound maneuver. This is achieved over a solution optimized solely on \(\Delta V\), while keeping the increase in \(\Delta V\) to a minimum, as desired. Outcomes of the analysis provide significant results in terms of improved robustness in asteroid rendezvous missions.

Comments: (under review in Acta Astronautica)
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Earth and Planetary Astrophysics (astro-ph.EP)
Cite as: arXiv:1508.04542 [astro-ph.IM] (or arXiv:1508.04542v1 [astro-ph.IM] for this version)
Submission history
From: Kamran Turkoglu
[v1] Wed, 19 Aug 2015 07:01:30 GMT (13216kb,D)

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